Loading pyproject.toml +1 −1 Original line number Diff line number Diff line [tool.poetry] name = "ctscan-viz" version = "0.2.0" version = "0.2.1" description = "Template application" authors = [] readme = "README.md" Loading src/ctscan_viz/views/visualization_panel.py +4 −4 Original line number Diff line number Diff line Loading @@ -69,17 +69,17 @@ class VisualizationPanel: else: scalars = np.concatenate((scalars, slice.active_scalars)) z_range += 1 print(f"Processed slice {z_range}/{len(file_list)} in {time.time() - slice_start:.2f}s") print(f"Numpy array creation: {time.time() - start:.2f}s") print(f"Processed slice {z_range}/{len(file_list)} in {time.time() - slice_start:.2f}s", flush=True) print(f"Numpy array creation: {time.time() - start:.2f}s", flush=True) start = time.time() # Define the 3D volume's extent volume = ImageData(dimensions=(x_range, y_range, z_range), origin=(0, 0, 0), spacing=(1, 1, 1)) # Define the 3D volume's scalars for the color/opacity transfer functions volume["TIFF Scalars"] = scalars print(f"PyVista volume creation: {time.time() - start:.2f}s") print(f"PyVista volume creation: {time.time() - start:.2f}s", flush=True) start = time.time() self.plotter.add_volume(volume, opacity="sigmoid") self.plotter.view_isometric(self.plotter) print(f"PyVista volume rendering: {time.time() - start:.2f}s") print(f"PyVista volume rendering: {time.time() - start:.2f}s", flush=True) Loading
pyproject.toml +1 −1 Original line number Diff line number Diff line [tool.poetry] name = "ctscan-viz" version = "0.2.0" version = "0.2.1" description = "Template application" authors = [] readme = "README.md" Loading
src/ctscan_viz/views/visualization_panel.py +4 −4 Original line number Diff line number Diff line Loading @@ -69,17 +69,17 @@ class VisualizationPanel: else: scalars = np.concatenate((scalars, slice.active_scalars)) z_range += 1 print(f"Processed slice {z_range}/{len(file_list)} in {time.time() - slice_start:.2f}s") print(f"Numpy array creation: {time.time() - start:.2f}s") print(f"Processed slice {z_range}/{len(file_list)} in {time.time() - slice_start:.2f}s", flush=True) print(f"Numpy array creation: {time.time() - start:.2f}s", flush=True) start = time.time() # Define the 3D volume's extent volume = ImageData(dimensions=(x_range, y_range, z_range), origin=(0, 0, 0), spacing=(1, 1, 1)) # Define the 3D volume's scalars for the color/opacity transfer functions volume["TIFF Scalars"] = scalars print(f"PyVista volume creation: {time.time() - start:.2f}s") print(f"PyVista volume creation: {time.time() - start:.2f}s", flush=True) start = time.time() self.plotter.add_volume(volume, opacity="sigmoid") self.plotter.view_isometric(self.plotter) print(f"PyVista volume rendering: {time.time() - start:.2f}s") print(f"PyVista volume rendering: {time.time() - start:.2f}s", flush=True)